LLaMA 2: a model overview and demo tutorial in Jupyter Notebooks
This tutorial shows how the LLaMA 2 model has improved upon the previous version, and details how to run it freely in a Jupyter Notebook.
CODEGEN: A Transformative Open-Source Language Model for Versatile Program Synthesis
In this tutorial, we discuss CODEGEN, one of the hottest Language Modeling projects tackling code generation.
Intro to optimization in deep learning: Gradient Descent
An in-depth explanation of Gradient Descent and how to avoid the problems of local minima and saddle points.
Qwen3-Next-80B-A3B-Instruct: Efficient Long-Context AI
Explore Qwen3-Next-80B-A3B-Instruct, a next-generation large language model optimized for efficiency, scalability, and long-context understanding.
How to Build a Photogrammetry Pipeline on a GPU Droplet
Learn how to set up a powerful photogrammetry pipeline using GPU cloud servers. This step-by-step guide covers installation, configuration, and optimization for fast 3D model creation from images.
Sliding Window Attention: Efficient Long-Context Modeling
‘Learn how sliding window attention enables efficient long-context modeling in modern AI systems. Understand its benefits and use cases in LLMs.’
LLM Inference Optimization 101
‘The goal of this article is to give readers an overview of current ways in which researchers and deep learning practitioners are optimizing LLM inference.’
An Overview of Sesame’s Conversational Speech Model
The goal of this article is to give readers an overview of Sesame’s Conversational Speech Model (CSM) and deploying it on a GPU cloud servers
Unveiling the Power of First-Order MAML Algorithm in Meta-Learning
In this tutorial we introduce and cover First-Order Model Agnostic Meta-Learning (MAML), which give fast understanding on new tasks to deep neural networks.
PaliGemma: A lightweight open vision-language model (VLM)
In this tutorial we will explore Google’s vision-model PaliGemma. A lightweight, open model designed for easy fine-tuning, training and deploying.
